Vehicle Weather Prediction Using Ensemble Weight Data
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Solution Overview
Problem
Existing weather prediction technologies require significant data processing and transmission, which is challenging for moving vehicles due to limited data processing capacity and transmission volume, necessitating a more efficient method for creating accurate weather predictions on the move.
Innovation Solution
A program product and method that combines ensemble weather forecasting data with observed weather data and weight data to create weather prediction data, utilizing a data processing device on a moving vehicle, which includes recording and processing these data types to generate accurate predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If general weather forecasting methods using data assimilation are used, then weather prediction accuracy is improved, but data processing volume and computation time increase significantly
Solution Approach 1:
The patent extracts and transmits only the essential weight data representing the contribution of individual ensemble members to the weather prediction, rather than transmitting the complete ensemble weather forecasting data. This extraction reduces the data volume to be transmitted and processed on the moving vehicle while preserving the predictive accuracy through the weight information that captures the relative importance of different forecast members.
Solution Approach 2:
The patent creates a simplified representation of the complex weather prediction system by using weight data as a copy or summary of the ensemble member contributions. Instead of copying the entire ensemble dataset, it copies only the weight information that encapsulates the essential predictive relationships, enabling efficient processing on resource-constrained moving vehicles.
2Productivity
If ensemble weather forecasting data is processed on moving vehicles, then real-time weather prediction capability is improved, but data processing capacity requirements increase
Solution Approach 1:
The patent extracts only the weight data from the complex ensemble weather forecasting system, creating a simplified dataset that can be processed on moving vehicles with limited computational resources. This extracted weight data maintains the essential predictive capability while reducing the processing burden to levels achievable on mobile devices.
Solution Approach 2:
The patent changes the parameters of the data by transforming the full ensemble weather forecasting data into weight data that represents the contribution of each ensemble member. This parameter transformation reduces the data complexity and processing requirements while preserving the predictive information needed for real-time weather forecasts on moving vehicles.
3Measurement precision
If large amounts of weather data are transmitted to moving vehicles, then prediction accuracy is improved, but transmission volume and communication requirements increase
Solution Approach 1:
The patent extracts only the weight data from the ensemble weather forecasting system for transmission to moving vehicles. This extraction significantly reduces the transmission volume compared to sending complete ensemble datasets, while the weight data maintains sufficient information for accurate weather predictions through its encoding of ensemble member contribution relationships.
Data Source
AI summary
A program product for creating weather prediction data and a method for creating weather prediction data, which are available for a moving vehicle with high-speed. The computer program product executes the steps of recording ensemble weather forecasting data, recording observed weather data, recording weight data, and creating weather prediction data by using the weight data and the ensemble weather forecasting data.